Comarch, #ReinventingTelecoms

The telecom business has provided essential elements that make the digital revolution happen. Across the globe, most industries depend on communication service providers to deliver the critical network infrastructure and connectivity improvements to run and transform their business.

But so far, the role that CSPs have played in the process of furthering the adoption of digital business models in other industries has not fully translated into a competitive advantage for telecoms themselves. Under pressure from OTT players and plagued by outdated business models, telecoms profits have dwindled. In this fast-changing business environment, operators need to decide what role they want to play and what that choice will entail.

Be it new partnerships and business models or venturing into unknown markets, telecoms need to reinvent themselves to get there – and that will require technologies fitting their new digital operations.In their transformation, CSPs will need a great deal of flexibility. Moving business and network processes into cloud native environments will give telecoms the chance to offer multi-device support, implement new services faster, facilitate data transfers and achieve hardware independence.

This new-found flexibility will call for marketing its value to customers by creating an environment that’s easy to navigate for the user. It will be necessary to introduce omnichannel sales and marketing strategies that enable clients to move seamlessly across sales channels and devices during the purchase process. As a result, optimized sales processes will let customers explore the full advantage of operators’ reinvented offerings straight from their mobile phone, while also decreasing the workloads of customer agents.

The multitude of potential roles that CSPs need requires true readiness for the future, and the future is 5G. Networks need to be designed around it – through provider partners whose hardware can be dynamically utilized. Virtualization technologies such as NFV (network function virtualization) and SDN (software defined networks) will significantly help in enabling this cooperation and speeding up the deployment of digital services.

CSPs make strides to utilize the vast amounts of data they collect, but now the ongoing advances in telecom AI and machine learning enable aligning automation capabilities with data and processes to a much greater degree. In particular, assurance systems allowing predictive maintenance in network fault detection are going to be crucial for future telecom operations. Coupled with SON (self-organizing networks), these solutions will increase the efficiency network-related processes and lower the cost of network maintenance through the concept of automated, zero-touch network and service management.

Finally, sensor-embedded telecom equipment can be monitored and serviced by mobile technicians who are empowered by field service management solutions that use advanced analytics algorithms. Telecoms aiding their operations with comprehensive FSM systems will benefit from improved performance, forecasting and enabling predictive maintenance, greater fleet efficiency and minimizing network downtime.

The radical changes in technology and mindset that CSPs need to adopt in order to ensure a successful digital transformation

The value of sharing responsibilities between the parties

Why synergy between business needs and IT will drive the quality of delivery, customer satisfaction and operational agility up – and CAPEX/OPEX down

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#3 How to Make your OSS 5G ready

How intelligent is your OSS? How intelligent ought it be? Explore Intelligent Operations in OSS for the 5G Era and Beyond. Find out:

The opportunities and challenges presented by 5G

Why telcos need to shift towards intelligent operations

How OSS needs to develop in order to be fit for purpose in the 5G era and beyond

Means of implementing intelligent operations in hybrid networks

A deep dive view of 5G architecture, SDN/NFV and network slicing

What 5G demands of CSPs, and how they can deliver

AI for OSS now and in the future

The business benefits of OSS transformation

The next steps: future-proofing for a world beyond 5G

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#4 On the Road to Zero Touch End-to-end Network Design and Optimization

Artificial Intelligence, Machine Learning and Automation: How Telcos can begin transforming their OSS to meet the demands of new technology. Read our White Paper and learn:

The current opportunities and limitations of OSS automation in the telco domain

The differences between automation, artificial intelligence and machine learning

Different approaches to machine learning algorithms

OSS automation for specific and general purposes

Why a new mindset is required for modern OSS automation

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#5 Paving the Way for AI in IoT

The IoT and AI have changed the way we do business, consume products and services and live our everyday lives.
In combination, they have the potential to go much further – bringing tangible benefits for organizations in many industries and for their customers.
Read new white paper and learn:

Examples of AI/IoT implementations in everyday life

Why we need AI

The place of machine learning in the AI environment

The limitations of AI

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#6 Putting the Digital Customer Experience at the Heart of Telco Omnichannel Strategies